Manager
Bangalore, Karnataka, India
INR 1200K-2000K (estimate) Mid-level Full Time
Tasks
- Architect secure ML infrastructure for training deploying monitoring
- Automate security tasks in ML pipeline
- Collaborate with Data Scientists to build secure ML applications
- Conduct threat modeling for ML systems
- Define and implement DevSecOps best practices for ML
- Define security metrics and dashboards for ML operations
- Design automated CI CD pipelines with security gates
- Develop incident response plans for ML security incidents
- Drive security training and awareness for AI teams
- Enforce ML specific security policies and governance
- Ensure secure production deployment with access control monitoring logging
- Establish secure coding standards for ML pipelines
- Evaluate and recommend ML security tools and technologies
- Implement monitoring and logging for ML security and anomalies
- Implement secure data handling with encryption anonymization and access control
- Implement security controls for ML components
- Manage vulnerability scanning and security testing for ML
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Anomaly Detection | Application Security | Azure | Bash | CCPA | CI/CD | Cloud Security | Container Security | DevSecOps | Differential Privacy | Docker | Encryption | GCP | GDPR | Homomorphic Encryption | Infrastructure Security | Kubernetes | Langchain | Learning operations | Logging | MLOps | Machine Learning | Machine Learning Operations | Monitoring | Multi-party Computation | PyTorch | Python | Secure Coding | Secure Multi-Party Computation | TensorFlow | Threat modeling | Vulnerability scanning
Education
Roles
DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Security | Security Engineer
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